context('Process Bin')
test_that('The bin processor works', {
bin <- DNAStringSet(c(rep('AA', 5)))
pbin <- process_bin(bin)
out_names <- c('src', 'out', 'alignment', 'consensus')
expect_that(all(out_names %in% names(pbin)), is_true())
expect_that(as.character(pbin$consensus[[1]]) == 'AA', is_true())
bin <- DNAStringSet(c(rep('AAAAAAAAAAAAAAAAAAA', 5),
'CCCCCCCCCCCCCCCCCCC'))
pbin <- process_bin(bin)
expect_that(as.character(pbin$consensus[[1]]) == 'AAAAAAAAAAAAAAAAAAA', is_true())
bin <- DNAStringSet(c(rep('AAAAAAAAAAAAAAAAAAA', 5),
'CCCCCCCCCCCCCCCCCCC',
'AAAAAAAAAAAAAAAAAAG'))
pbin <- process_bin(bin)
expect_that(as.character(pbin$consensus[[1]]) == 'AAAAAAAAAAAAAAAAAAA', is_true())
})
test_that('gaps are inserted and removed appropriately by process_bin', {
bin <- DNAStringSet(c(rep('AAAAAAAAAAAACCCCCCAAAAAAAAAAAAA', 8),
rep('AAAAAAAAAAAAAACCCCCCAAAAAAAAAAAAA', 4)))
classification_params <- list(threshold = 1,
start_threshold = 1,
max_sequences = 100)
consensus_technique = 'mostConsensusString'
pbin <- process_bin(bin, classification_params = classification_params,
consensus_technique = consensus_technique)
expect_that(nchar(pbin$consensus[[1]]), equals(31))
pbin <- process_bin(bin, classification_params = classification_params,
consensus_technique = consensus_technique,
remove_gaps = FALSE)
expect_that(nchar(pbin$consensus[[1]]), equals(33))
gaps_inserted <- sum(strsplit(as.character(pbin$consensus[[1]]), split='')[[1]] == '-')
expect_that(gaps_inserted, equals(2))
})
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